562 Open source projects that are alternatives of or similar to image-segmentation

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Segmentation models with pretrained backbones. PyTorch.

Cell Detection with PyTorch.

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Paper notes in deep learning/machine learning and computer vision

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

No description or website provided.

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

3D U-Net model for volumetric semantic segmentation written in pytorch

End-to-end image segmentation kit based on PaddlePaddle.

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

📚 A collection of papers about Referring Image Segmentation.

The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

The implementation of 3D-UNet using PyTorch

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

2D and 3D UNet implementation in PyTorch.

NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

Deep learning applied to georeferenced datasets

Implemetation of Pyramid Scene Parsing Network in Pytorch

OpenMMLab Detection Toolbox and Benchmark

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

Cut and paste augmentation for object detection and instance segmentation

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

PyTorch implementation of "Pyramid Scene Parsing Network".

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

tensorflow version of unet

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

BCDU-Net : Medical Image Segmentation

A semantic segmentation toolbox based on PyTorch

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

semantic segmentation pytorch 语义分割

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

Satellite Image Classification using semantic segmentation methods in deep learning

WMH segmentaion with unet, dilated_unet, and with ideas from denseNet

Reference implementation of "Faster Training of Mask R-CNN by Focusing on Instance Boundaries"

A sample project to build a custom Mask RCNN model using Tensorflow object detection API

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

Develop production ready deep learning code, deploy it and scale it

Tensorflow implementation : U-net and FCN with global convolution